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SUMMARY:Modeling Drivers Behavior during Safety-Critical Events with Intel
 ligent Agents
DTSTART:20121018T121500
DTEND:20121018T131500
DTSTAMP:20260501T210504Z
UID:0c3dc143080d9247863a36db7ded76f51d9df1444e8ac7b25db30f64
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Dr. Montasir Abbas\nAbstract: This presentation describe
 s a novel methodology to model both safety and operational aspects of driv
 er behavior in traffic (funded by the FHWA Exploratory and Advanced Resear
 ch Program) using agent-based modeling and simulation techniques. Neuro-fu
 zzy reinforcement learning agents were developed and trained to clone the 
 behavior of individual drivers during normal and safety-critical driving e
 vents. A naturalistic driving database was used for the training and valid
 ation of the developed agents. Robust agent activation techniques were als
 o developed using discriminant analysis. The developed agents were impleme
 nted in VISSIM (a microscopic traffic simulation commercial software) and 
 were evaluated by comparing the behavior of vehicles with and without agen
 t activation. The results showed very close resemblance of the behavior of
  agents to driver data.\nBio: Dr. Montasir Abbas is an Associate Professor
  in the Transportation Infrastructure and Systems Engineering at Virginia 
 Tech. He holds a Bachelor of Science in Civil Engineering from University 
 of Khartoum\, Sudan (1993)\, a Master of Science in Civil Engineering from
  University of Nebraska-Lincoln (1997)\, and a Doctor of Philosophy in Civ
 il Engineering from Purdue University (2001).\nDr. Abbas areas of interest
 s include traffic control\, intelligent transportation systems\, and traff
 ic flow theory. He developed several algorithms and systems\, including Pu
 rdue Real-time Offset Transitioning Algorithm for Coordinating Traffic Sig
 nals (Pro-Tracts)\, Platoon Identification and Accommodation system (PIA)\
 , Pattern Identification Logic for Offset Tuning (PILOT 05)\, Supervisory 
 Control Intelligent Adaptive Module (SCIAM)\, and the Cabinet-in-the-loop 
 (CabITL) simulation platform. He has conducted sponsored research of more 
 than $2\,000\,000 as a principal or co-principal investigator. His researc
 h sponsors include the Federal Highway Administration\, National Cooperati
 ve Highway Research Program\, Virginia Center for Transportation Innovatio
 n and Research\, and Texas Department of Transportation.
LOCATION:GC C330 http://plan.epfl.ch/?room=GC%20C3%2030
STATUS:CONFIRMED
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